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            <td width="35%" class="headerValue"><a href="../../../index.html">top level</a> - <a href="index.html">include/caffe/layers</a> - memory_data_layer.hpp<span style="font-size: 80%;"> (source / <a href="memory_data_layer.hpp.func-sort-c.html">functions</a>)</span></td>
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            <td class="headerItem">Test:</td>
            <td class="headerValue">code analysis</td>
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            <td class="headerItem">Lines:</td>
            <td class="headerCovTableEntry">0</td>
            <td class="headerCovTableEntry">10</td>
            <td class="headerCovTableEntryLo">0.0 %</td>
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            <td class="headerItem">Date:</td>
            <td class="headerValue">2020-09-11 22:50:33</td>
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            <td class="headerItem">Functions:</td>
            <td class="headerCovTableEntry">0</td>
            <td class="headerCovTableEntry">20</td>
            <td class="headerCovTableEntryLo">0.0 %</td>
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            <span class="coverLegendCov">hit</span>
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<pre class="sourceHeading">          Line data    Source code</pre>
<pre class="source">
<a name="1"><span class="lineNum">       1 </span>            : #ifndef CAFFE_MEMORY_DATA_LAYER_HPP_</a>
<span class="lineNum">       2 </span>            : #define CAFFE_MEMORY_DATA_LAYER_HPP_
<span class="lineNum">       3 </span>            : 
<span class="lineNum">       4 </span>            : #include &lt;vector&gt;
<span class="lineNum">       5 </span>            : 
<span class="lineNum">       6 </span>            : #include &quot;caffe/blob.hpp&quot;
<span class="lineNum">       7 </span>            : #include &quot;caffe/layer.hpp&quot;
<span class="lineNum">       8 </span>            : #include &quot;caffe/proto/caffe.pb.h&quot;
<span class="lineNum">       9 </span>            : 
<span class="lineNum">      10 </span>            : #include &quot;caffe/layers/base_data_layer.hpp&quot;
<span class="lineNum">      11 </span>            : 
<span class="lineNum">      12 </span>            : namespace caffe {
<span class="lineNum">      13 </span>            : 
<span class="lineNum">      14 </span>            : /**
<span class="lineNum">      15 </span>            :  * @brief Provides data to the Net from memory.
<span class="lineNum">      16 </span>            :  *
<span class="lineNum">      17 </span>            :  * TODO(dox): thorough documentation for Forward and proto params.
<a name="18"><span class="lineNum">      18 </span>            :  */</a>
<span class="lineNum">      19 </span>            : template &lt;typename Dtype&gt;
<a name="20"><span class="lineNum">      20 </span><span class="lineNoCov">          0 : class MemoryDataLayer : public BaseDataLayer&lt;Dtype&gt; {</span></a>
<span class="lineNum">      21 </span>            :  public:
<span class="lineNum">      22 </span><span class="lineNoCov">          0 :   explicit MemoryDataLayer(const LayerParameter&amp; param)</span>
<span class="lineNum">      23 </span><span class="lineNoCov">          0 :       : BaseDataLayer&lt;Dtype&gt;(param), has_new_data_(false) {}</span>
<span class="lineNum">      24 </span>            :   virtual void DataLayerSetUp(const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; bottom,
<a name="25"><span class="lineNum">      25 </span>            :       const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; top);</a>
<a name="26"><span class="lineNum">      26 </span>            : </a>
<a name="27"><span class="lineNum">      27 </span><span class="lineNoCov">          0 :   virtual inline const char* type() const { return &quot;MemoryData&quot;; }</span></a>
<span class="lineNum">      28 </span><span class="lineNoCov">          0 :   virtual inline int ExactNumBottomBlobs() const { return 0; }</span>
<span class="lineNum">      29 </span><span class="lineNoCov">          0 :   virtual inline int ExactNumTopBlobs() const { return 2; }</span>
<span class="lineNum">      30 </span>            : 
<span class="lineNum">      31 </span>            :   virtual void AddDatumVector(const vector&lt;Datum&gt;&amp; datum_vector);
<span class="lineNum">      32 </span>            : #ifdef USE_OPENCV
<span class="lineNum">      33 </span>            :   virtual void AddMatVector(const vector&lt;cv::Mat&gt;&amp; mat_vector,
<span class="lineNum">      34 </span>            :       const vector&lt;int&gt;&amp; labels);
<span class="lineNum">      35 </span>            : #endif  // USE_OPENCV
<span class="lineNum">      36 </span>            : 
<span class="lineNum">      37 </span>            :   // Reset should accept const pointers, but can't, because the memory
<span class="lineNum">      38 </span>            :   //  will be given to Blob, which is mutable
<span class="lineNum">      39 </span>            :   void Reset(Dtype* data, Dtype* label, int n);
<a name="40"><span class="lineNum">      40 </span>            :   void set_batch_size(int new_size);</a>
<a name="41"><span class="lineNum">      41 </span>            : </a>
<a name="42"><span class="lineNum">      42 </span><span class="lineNoCov">          0 :   int batch_size() { return batch_size_; }</span></a>
<a name="43"><span class="lineNum">      43 </span><span class="lineNoCov">          0 :   int channels() { return channels_; }</span></a>
<span class="lineNum">      44 </span><span class="lineNoCov">          0 :   int height() { return height_; }</span>
<span class="lineNum">      45 </span><span class="lineNoCov">          0 :   int width() { return width_; }</span>
<span class="lineNum">      46 </span>            : 
<span class="lineNum">      47 </span>            :  protected:
<span class="lineNum">      48 </span>            :   virtual void Forward_cpu(const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; bottom,
<span class="lineNum">      49 </span>            :       const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; top);
<span class="lineNum">      50 </span>            : 
<span class="lineNum">      51 </span>            :   int batch_size_, channels_, height_, width_, size_;
<span class="lineNum">      52 </span>            :   Dtype* data_;
<span class="lineNum">      53 </span>            :   Dtype* labels_;
<span class="lineNum">      54 </span>            :   int n_;
<span class="lineNum">      55 </span>            :   size_t pos_;
<span class="lineNum">      56 </span>            :   Blob&lt;Dtype&gt; added_data_;
<span class="lineNum">      57 </span>            :   Blob&lt;Dtype&gt; added_label_;
<span class="lineNum">      58 </span>            :   bool has_new_data_;
<span class="lineNum">      59 </span>            : };
<span class="lineNum">      60 </span>            : 
<span class="lineNum">      61 </span>            : }  // namespace caffe
<span class="lineNum">      62 </span>            : 
<span class="lineNum">      63 </span>            : #endif  // CAFFE_MEMORY_DATA_LAYER_HPP_
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